const video = document.getElementById('video')

Promise.all([
    faceapi.nets.tinyFaceDetector.loadFromUri('./models'),
    faceapi.nets.faceLandmark68Net.loadFromUri('./models'),
    faceapi.nets.faceRecognitionNet.loadFromUri('./models'),
    faceapi.nets.faceExpressionNet.loadFromUri('./models'),
]).then(startVideo);

function startVideo() {
    navigator.getUserMedia(
      { video: {} },
      (stream) => (video.srcObject = stream),
      (err) => console.error(err)
    );
  }
  
video.addEventListener("play", () => {
    const canvas = faceapi.createCanvasFromMedia(video);
    document.body.append(canvas);
    const displaySize = { width: video.width, height: video.height };
    console.log(displaySize)
    faceapi.matchDimensions(canvas, displaySize);
    setInterval(async () => {
      const detections = await faceapi
        .detectAllFaces(video, new faceapi.TinyFaceDetectorOptions())
        .withFaceLandmarks()
        .withFaceExpressions();
      const resizedDetections = faceapi.resizeResults(detections, displaySize);
      canvas.getContext("2d").clearRect(0, 0, canvas.width, canvas.height);
      faceapi.draw.drawDetections(canvas, resizedDetections);
      faceapi.draw.drawFaceLandmarks(canvas, resizedDetections);
      faceapi.draw.drawFaceExpressions(canvas, resizedDetections);
    }, 100);
  });
